blob: 02f34da58ccb16876a74ba7adde9dca465f9a466 [file] [log] [blame]
#!/usr/bin/env python
# Copyright 2014 The Chromium OS Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
"""This module provides abstraction of audio data."""
import contextlib
import copy
import numpy as np
import struct
import StringIO
"""The dict containing information on how to parse sample from raw data.
Keys: The sample format as in aplay command.
Values: A dict containing:
message: Human-readable sample format.
struct_format: Format used in struct.unpack.
size_bytes: Number of bytes for one sample.
message='Signed 32-bit integer, little-endian',
message='Signed 16-bit integer, little-endian',
def get_maximum_value_from_sample_format(sample_format):
"""Gets the maximum value from sample format.
@param sample_format: A key in SAMPLE_FORMAT.
@returns: The maximum value the sample can hold + 1.
size_bits = SAMPLE_FORMATS[sample_format]['size_bytes'] * 8
return 1 << (size_bits - 1)
class AudioRawDataError(Exception):
"""Error in AudioRawData."""
class AudioRawData(object):
"""The abstraction of audio raw data.
@property channel: The number of channels.
@property channel_data: A list of lists containing samples in each channel.
E.g., The third sample in the second channel is
@property sample_format: The sample format which should be one of the keys
in audio_data.SAMPLE_FORMATS.
def __init__(self, binary, channel, sample_format):
"""Initializes an AudioRawData.
@param binary: A string containing binary data. If binary is not None,
The samples in binary will be parsed and be filled into
@param channel: The number of channels.
@param sample_format: One of the keys in audio_data.SAMPLE_FORMATS.
""" = channel
self.channel_data = [[] for _ in xrange(]
self.sample_format = sample_format
if binary:
def read_binary(self, binary):
"""Reads samples from binary and fills channel_data.
Reads samples of fixed width from binary string into a numpy array
and shapes them into each channel.
@param binary: A string containing binary data.
sample_format_dict = SAMPLE_FORMATS[self.sample_format]
# The data type used in numpy fromstring function. For example,
# <i4 for 32-bit signed int.
np_dtype = '%s%d' % (sample_format_dict['struct_format'],
# Reads data from a string into 1-D array.
np_array = np.fromstring(binary, dtype=np_dtype)
n_frames = len(np_array) /
# Reshape np_array into an array of shape (n_frames, channel).
np_array = np_array.reshape(n_frames,
# Transpose np_arrya so it becomes of shape (channel, n_frames).
self.channel_data = np_array.transpose()